Yes, but you will first need to stitch your tile into a single, contiguous set of pixels for each channel at each timepoint. There are many tools to perform this task available on the web, such as ImageJ's Image Stitching plugin.

These stitched tiles should then be compiled into a single multi-frame/multi-channel image, which is saved in your root directory.

Yes. To do this, first split your dataset into each separate field of view and save each as an image file in a unique folder. For more details on how to set up your directory structure, please refer to the data configuration page.

Image cytometry is a simple alternative to flow cytometry, in which microscopy is used to assess the fluorescence and morphological properties of thousands of cells simultaneously. After the appropriate experimental preparations, a single 2D image of a field of cells is taken and processed to extract useful information. It can be used, for example, to quantify the size of populations of cells labelled with different fluorophores, or to quantify the effect of different experimental conditions on the expression of specific proteins.

To use FAST to analyse image cytometry data, simply save each image in its own folder as described in the data configuration page. When analysing single frames rather than time series, the feature extraction module will output single timepoint-long 'pseudotracks' which can be analysed much like normal tracks. Examples of scripts that allow automated processing of image cytometry data can be found in the post-processing toolbox.